Job Title: Remote Principal Engineer

Company Name: MoldStud

Job Url: https://moldstud.com/careers/remote-principal-engineer-at-pulumi-neo

Job Description: MoldStud’s Commitment To Growth And Excellence
At MoldStud, we're dedicated to nurturing talent and fostering a culture where innovation thrives. As a Middle-Level Remote Principal Engineer at Pulumi Neo, you'll find yourself at the heart of a collaborative team that values your growth, supports your professional development, and encourages you to explore new horizons in technology. We believe in pushing the boundaries of digital solutions, and we want passionate individuals like you to join us on this exciting journey.

What You’ll Be Doing As A middlesenior Remote Principal Engineer at Pulumi Neo At MoldStud
Position Overview
Embark on a journey to shape the future of cloud automation and intelligent infrastructure. This role focuses on designing and building an autonomous engineering agent that aids developers, operations teams, and security professionals in planning, executing, and refining cloud-based workflows across major platforms.

Key Responsibilities
Lead the full development lifecycle of the agent, from core architecture to end-user interfaces.
Design and implement planning and execution engines that coordinate complex, multi-step operations across AWS, Azure, GCP, and Kubernetes.
Build robust tool adapters and interfaces that enable seamless interaction with external services and APIs.
Create dynamic context systems, feedback loops, and evaluation frameworks to continuously improve agent performance.
Integrate agent capabilities into the main control and orchestration platform, ensuring smooth interaction with existing services.
Champion reliability and safety, implementing rigorous testing, monitoring, and fail-safe mechanisms for AI-driven decision making.
Collaborate cross-functionally with product managers, UX designers, and data scientists to align technical solutions with user needs.
Mentor junior engineers and contribute to a culture of knowledge sharing and continuous improvement.
Stay current with emerging AI and infrastructure technologies, bringing fresh ideas to the design table.
Required Qualifications
5+ years of software engineering experience building production systems.
Proficiency in Python and TypeScript, with demonstrable ability to learn new languages or frameworks quickly.
Hands-on experience developing large-scale LLM-driven applications, including function calling, tool integration, and multi-step orchestration.
Deep understanding of cloud platforms (AWS, Azure, GCP) and container orchestration (Kubernetes).
Strong background in backend architecture, user-centric design, and end-to-end system reliability.
Track record of building safe, trustworthy AI solutions with attention to robustness and transparency.
Excellent verbal and written communication skills, facilitating collaboration across distributed teams.
Product mindset, with a focus on delivering user value and a passion for solving complex real-world problems.
Desired Skills & Experiences
Experience with ML or LLM tooling frameworks and prompt engineering.
Knowledge of DevOps practices, CI/CD pipelines, and infrastructure as code.
Familiarity with observability tooling, log analytics, and alerting systems.
Background in designing user interfaces or dashboards (React, Next.js, or similar).
Prior participation in low-latency, high-availability software projects.
Benefits & Work Culture
Comprehensive health coverage including medical, dental, vision, and supplemental options at no out-of-pocket cost for eligible U.S. employees.
Unlimited paid time off-flexible leave with an encouragement to take at least three weeks of vacation annually.
Competitive retirement savings plan with employer matching contributions.
Inclusive parental leave policy: generous paid time off for all caregivers.
Remote-first structure supporting flexible work arrangements and an annual stipend for on-location travel.
Annual allocation for continuing education, conferences, and skill development.
Equity participation, empowering each team member to influence the company's future.
Well-being resources including wellness funds, mental health support, and quarterly team-building initiatives.
Our Values
We are driven by a commitment to innovation, integrity, and collaboration. Every engineer is encouraged to experiment, challenge the status quo, and contribute ideas that push the boundaries of what autonomous infrastructure can achieve. If you thrive in an environment that empowers creativity, values continuous learning, and prioritizes user impact, we would love to meet you.

We Need You To Have Some Hard Skills
Expert in Python and TypeScript, rapid learning of new frameworks
Build large-scale LLM-driven apps with function calling and tool integration
Design and orchestrate multi-step workflows across AWS, Azure, GCP, and K8s
Architect robust backend systems, ensuring end-to-end reliability
Implement CI/CD pipelines and infrastructure-as-code for deployment
Use observability tools, log analytics, and alerting for failure detection
Develop UI dashboards in React or Next.js for user interfaces
Apply prompt engineering within ML/LLM tooling frameworks
We Need You To Have Some Soft Skills
Lead cross-functional teams to align technical solutions with user needs.
Mentor junior engineers, fostering knowledge sharing and growth.
Communicate complex ideas clearly across distributed teams.
Collaborate with product, UX, and data science to drive user value.
Encourage experimentation, question status quo, and share insights.
Guide the team toward safety and reliability in AI decisions.
Champion continuous learning and stay current with industry trends.
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